TY - GEN
T1 - Constitutive parameter estimation methodology using tagged-MRI data
AU - Imperiale, A.
AU - Chabiniok, R.
AU - Moireau, P.
AU - Chapelle, D.
PY - 2011/6/2
Y1 - 2011/6/2
N2 - We propose a methodology for performing the estimation of a key constitutive parameter in a biomechanical heart model - namely, the tissue contractility - using tagged-MRI data. We adopt a sequential data assimilation strategy, and the image data is assumed to be processed in the form of deforming tag planes, which we employ to obtain a discrepancy between the model and the data by computing distances to these surfaces. We assess our procedure using synthetic measurements produced with a model representing an infarcted heart as observed in an animal experiment, and the estimation results are found to be of superior accuracy compared to assimilation based on segmented endo- and epicardium surfaces.
AB - We propose a methodology for performing the estimation of a key constitutive parameter in a biomechanical heart model - namely, the tissue contractility - using tagged-MRI data. We adopt a sequential data assimilation strategy, and the image data is assumed to be processed in the form of deforming tag planes, which we employ to obtain a discrepancy between the model and the data by computing distances to these surfaces. We assess our procedure using synthetic measurements produced with a model representing an infarcted heart as observed in an animal experiment, and the estimation results are found to be of superior accuracy compared to assimilation based on segmented endo- and epicardium surfaces.
U2 - 10.1007/978-3-642-21028-0_52
DO - 10.1007/978-3-642-21028-0_52
M3 - Conference contribution
AN - SCOPUS:79957663027
SN - 9783642210273
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 409
EP - 417
BT - Functional Imaging and Modeling of the Heart - 6th International Conference, FIMH 2011, Proceedings
T2 - 6th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2011
Y2 - 25 May 2011 through 27 May 2011
ER -